Cover Image

Targeted Digital Twin via Flow Map Learning and Its Application to Fluid Dynamics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Qifan, Xu, Zhongshu, Zhang, Jinjin, Xiu, Dongbin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Numerical Analysis Fluid Dynamics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Adaptive Machine Learning Framework for Fluid Flow in Dual-Network Porous Media
by: Maduri, V. S., et al.
Published: (2026)

PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics
by: Liu, Yuxuan, et al.
Published: (2024)

Preconditioned FEM-based Neural Networks for Solving Incompressible Fluid Flows and Related Inverse Problems
by: Griese, Franziska, et al.
Published: (2024)

VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction
by: Cao, Yadi, et al.
Published: (2024)

A Machine Learning-Enhanced Hopf-Cole Formulation for Nonlinear Gas Flow in Porous Media
by: Maduru, V. S., et al.
Published: (2026)

Geometry-aware PINNs for Turbulent Flow Prediction
by: Ghosh, Shinjan, et al.
Published: (2024)

Predicting Wave Dynamics using Deep Learning with Multistep Integration Inspired Attention and Physics-Based Loss Decomposition
by: Deo, Indu Kant, et al.
Published: (2025)

Symbolic Regression of Data-Driven Reduced Order Model Closures for Under-Resolved, Convection-Dominated Flows
by: Manti, Simone, et al.
Published: (2025)

Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks
by: Starepravo, Lucas Gerken, et al.
Published: (2026)

Modeling Unknown Stochastic Dynamical System via Autoencoder
by: Xu, Zhongshu, et al.
Published: (2023)

DUE: A Deep Learning Framework and Library for Modeling Unknown Equations
by: Chen, Junfeng, et al.
Published: (2025)

Semi-Implicit Lagrangian Voronoi Approximation for Compressible Viscous Fluid Flows
by: Kincl, Ondřej, et al.
Published: (2024)

High-Order Dynamic Integration Method (HODIM) for Modeling Turbulent Fluid Dynamics
by: Santos, Rômulo Damasclin Chaves dos, et al.
Published: (2024)

Effects of Transverse Force on Dusty Fluid Flow over a Linear Stretching Sheet
by: Kanungo, Subhrajit, et al.
Published: (2025)

Structure-preserving Randomized Neural Networks for Incompressible Magnetohydrodynamics Equations
by: Li, Yunlong, et al.
Published: (2026)

Generative AI for fast and accurate statistical computation of fluids
by: Molinaro, Roberto, et al.
Published: (2024)

Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations
by: McGreivy, Nick, et al.
Published: (2024)

Neural network-based Godunov corrections for approximate Riemann solvers using bi-fidelity learning
by: Thakur, Akshay, et al.
Published: (2025)

Mixture of neural operator experts for learning boundary conditions and model selection
by: Deighan, Dwyer, et al.
Published: (2025)

Machine learning enhanced real-time aerodynamic forces prediction based on sparse pressure sensor inputs
by: Duan, Junming, et al.
Published: (2023)

An Eulerian Vortex Method on Flow Maps
by: Wang, Sinan, et al.
Published: (2024)

Asymptotic-Preserving Neural Networks for Viscoelastic Parameter Identification in Multiscale Blood Flow Modeling
by: Bertaglia, Giulia, et al.
Published: (2026)

Extended Physics Informed Neural Network for Hyperbolic Two-Phase Flow in Porous Media
by: Rehman, Saif Ur, et al.
Published: (2025)

EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale
by: Du, Yiheng, et al.
Published: (2025)

Multi-Fidelity Machine Learning Applied to Steady Fluid Flows
by: Fuchi, Kazuko W., et al.
Published: (2025)

Revisiting Conservativeness in Fluid Dynamics: Failure of Non-Conservative PINNs and a Path-Integral Remedy
by: Neelan, Arun Govind, et al.
Published: (2026)

Numerical Analysis of Cavitation Dynamics on Free Ogee Spillways Using the Volume of Fluid (VOF) Method
by: Nikrou, Parvaneh, et al.
Published: (2024)

Multiscale Graph Neural Network for Turbulent Flow-Thermal Prediction Around a Complex-Shaped Pin-Fin
by: Raut, Riddhiman, et al.
Published: (2025)

Numerical Approach for On-the-Fly Active Flow Control via Flow Map Learning Method
by: Liu, Xinyu, et al.
Published: (2026)

Fluid-structure interaction analysis with interface control principle
by: Lee, Chungil, et al.
Published: (2025)

Adaptive Immersed Mesh Method (AIMM) for Fluid Structure Interaction
by: Nemer, R., et al.
Published: (2022)

A Volume of Fluid Immersed Boundary Method for Industrial Polymer Mixing
by: Capuano, Emilia, et al.
Published: (2026)

Hemodynamic Simulation in the Aortic Arch Under Anemic Diabetic and Healthy Blood Flow Conditions Using Computational Fluid Dynamics
by: Tina, Farzana Akter, et al.
Published: (2025)

Operator learning regularization for macroscopic permeability prediction in dual-scale flow problem
by: Runkel, Christina, et al.
Published: (2024)

A Priori Error Bounds for POD-ROMs for Fluids: A Brief Survey
by: Ballarin, Francesco, et al.
Published: (2024)

Decoupled Divergence-Free Neural Networks Basis Method for Incompressible Fluid Problems
by: Cheng, Jinbao, et al.
Published: (2026)

Parallel Nodal Interior-Penalty Discontinuous Galerkin Methods for the Subsonic Compressible Navier-Stokes Equations: Applications to Vortical Flows and VIV Problems
by: Zafeiris, Spiros, et al.
Published: (2025)

Multi-Condition Digital Twin Calibration for Axial Piston Pumps : Compound Fault Simulation
by: Dong, Chang, et al.
Published: (2026)

Efficient and Accurate Surrogate Modeling of Turbulent Flows via Space-Dependent Aggregation and Reduced Order Models
by: Zappi, Piero, et al.
Published: (2026)

Phase Field Modeling and Numerical Algorithm for Two-Phase Dielectric Fluid Flows
by: Yang, Jielin, et al.
Published: (2023)